Using your favorite statistics software package, you generate a scatter plot which displays a linear form.You find a regression equation and the standard deviation for both variables. The standard deviation for x is0.84, and the standard deviation for y is 3.14. The regression equation is reported asy=-3.3 +1.96xWhat fraction of the variation in y can be explained by the variation in the values of x? (Enter your answeras a decimal between 0 and 1.)

The required answer is 0.2749Explanation:Step 1:Given data : The regression equation is…

Answered: Using your favorite statistics software…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y=−24.94x+53.67 and the r=−0.78What percentage of the variation in y can be explained by the variation in the values of x?r² = ______% (Report exact answer, and do not enter the % sign)
The chart below shows the correlation between degrees Fahrenheit and degrees Celsius. Part a: Make a scatter plot and determine which type of model best fits the data.Part b: Find the regression equation.Part c: Use the equation from Part b to determine ºC when ºF = 47.Part d: Does this answer seem reasonable? Explain.
Write your complete solutions and box your answers. Regression methods were used to analyze the data from a study investigating the relationship between roadway surface temperature (x) and pavement deflection (y). Summary quantities were n = 20, Σy = 12.75, Σy =8.86, Σ.x; = 1478, Σx = 143,215.8, and Σ.xy = 1083.67. (a) What change in mean pavement deflection would be expected for a 1°F change in surface temperature? (b) Test for significance of regression using a = 0.05. Find the (c) P-value for this test. What conclusions can you draw? Estimate the standard errors of the slope and intercept.
Please provide a detailed solution for the question below (Table: Physicians per 10,000 Population and Life Expectancy) The table contains a subset of data reported in 2016 by the World Health Organization. Use these data to generate the regression equation for predicting life expectancy in a country from the number of physicians per 10,000 people in that country. To get you started, the mean and the standard deviation for both variables have been calculated. .Please provide detailed solution Table: Physicians per 10,000 Population and Life Expectancy Country Physicians/10,000 people Life expectancy Bangladesh 4.8 72.7 Cambodia 1.7 69.4 United States 25.9 78.5 Egypt 8.1 70.5 France 32.3 82.9 Japan 24.1 84.2
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Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y=-59.97x+67.54 and the r=-0.31 What percentage of the variation in y can be explained by the variation in the values of x? r² = % (Report exact answer, and do not enter the % sign) .
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the numbe of stories of six notable buildings in a city. Height, x Stories, y 778 621 519 510 494 473 (a) x = 500 feet (c) x = 318 feet (b) x = 649 feet (d) x = 727 feet 51 47 45 41 38 36 Find the regression equation.
Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as = 76.63x + 33.59 and r 0.119. What proportion of the variation in y can be explained by the linear regression equation found above? Report answer as a percentage accurate to one decimal place.
Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as -36.51x+76.99 and r = -0.437. What proportion of the variation in y can be explained by the linear regression equation found above? % Report answer as a percentage accurate to one decimal place. Submit Question
You generate a scatter plot using Excel. You then have Excel plot the trend line and report the equation and the r2r2 value. The regression equation is reported asy=−38.54x+27.71y=-38.54x+27.71and the r2=0.36r2=0.36.What is the correlation coefficient for this data set?r =
Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y = – 17.88x + 41.39 and the r = - 0.405. What proportion of the variation in y can be explained by the variation in the values of x? r2 = Report answer as a percentage accurate to one decimal place.
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city. Height, x Stories, y 775 619 519 508 (a) x= 501 feet (c) x=318 feet 491 474 (b) x = 651 feet (d) x= 729 feet 53 47 45 43 38 37 Find the regression equation. (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)

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